Triple
T20659114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tinnelva |
E507708
|
entity |
| Predicate | hasWaterfall |
P13549
|
FINISHED |
| Object | Årlifoss |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Årlifoss | Statement: [Tinnelva, hasWaterfall, Årlifoss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Årlifoss Context triple: [Tinnelva, hasWaterfall, Årlifoss]
-
A.
Harpefoss
Harpefoss is a small village in Sør-Fron Municipality in Innlandet county, Norway, known for its scenic valley setting along the Gudbrandsdalslågen river.
-
B.
Skotfoss
chosen
Skotfoss is a village in Telemark, Norway, known historically for its waterfall and former paper mill industry.
-
C.
Skogfoss
Skogfoss is a small village in Sør-Varanger municipality in Troms og Finnmark county in far northeastern Norway, near the border with Russia.
-
D.
Ulefoss
Ulefoss is a village in Telemark, Norway, known for its historic ironworks industry and scenic location by the Telemark Canal.
-
E.
Stigfossen
Stigfossen is a dramatic Norwegian waterfall cascading beside the famous Trollstigen mountain road in Møre og Romsdal.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2eff7a88190be0bdea227616e02 |
completed | April 20, 2026, 11:12 p.m. |
Created at: April 16, 2026, 11:43 a.m.